AWS Big Data

MARCH 26, 2024

In 2022, AWS commissioned a study conducted by the American Productivity and Quality Center (APQC) to quantify the Business Value of Customer 360. The following figure shows some of the metrics derived from the study. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 103

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CIO Business Intelligence

MAY 2, 2023

Drive KPIs and data-driven decisions without a data strategy Building digital products, improving customer experiences, developing the future of work , and encouraging a data-driven culture are all common digital transformation themes. The five derailments I focus on here fall within the CIO’s responsibilities to address.

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DataKitchen

JUNE 24, 2021

GE formed its Digital League to create a data culture. One of the keys for our success was really focusing that effort on what our key business initiatives were and what sorts of metrics mattered most to our customers. Chapin also mentioned that measuring cycle time and benchmarking metrics upfront was absolutely critical. “It

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BizAcuity

NOVEMBER 13, 2024

Business intelligence consulting services offer expertise and guidance to help organizations harness data effectively. Beyond mere data collection, BI consulting helps businesses create a cohesive data strategy that aligns with organizational goals.

Consulting 52

Consulting Data-driven Cost-Benefit Business Intelligence 52

Alation

OCTOBER 5, 2021

Yet, so many companies today are still failing miserably in implementing data strategy and governance protocols. Why is your data governance strategy failing? So, why is YOUR data governance strategy failing? Common data governance challenges. Incomplete data. Lack of focus on the right areas.

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CIO Business Intelligence

APRIL 8, 2024

Like other data-driven initiatives, Souza says Digital Athlete uses data rather than hunches and instinct to understand what’s happening on the field during games and practices. The first thing is having a data strategy, having a foundation of data, and then asking questions of it.”

Analytics 118

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Cloudera

JULY 20, 2021

Once companies are able to leverage their data they’re then able to fuel machine learning and analytics models, transforming their business by embedding AI into every aspect of their business. . Build your data strategy around the convergence of software and hardware.

Manufacturing 106

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AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Implement data privacy policies. Implement data quality by data type and source.

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AWS Big Data

JULY 13, 2023

This allows for transparency, speed to action, and collaboration across the group while enabling the platform team to evangelize the use of data: Altron engaged with AWS to seek advice on their data strategy and cloud modernization to bring their vision to fruition.

Optimization 98

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AWS Big Data

AUGUST 1, 2024

Migrating to Amazon Redshift offers organizations the potential for improved price-performance, enhanced data processing, faster query response times, and better integration with technologies such as machine learning (ML) and artificial intelligence (AI).

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Data Warehouse KPI Optimization Cost-Benefit 115

CIO Business Intelligence

JUNE 30, 2023

And we’ll let you in on a secret: this means nailing your data strategy. All of this renewed attention on data and AI, however, brings greater potential risks for those companies that have less advanced data strategies. But it all depends upon a solid, trusted data foundation.

Internet of Things 104

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Alation

APRIL 12, 2022

Today, the modern CDO drives the data strategy for the entire organization. The individual initiatives that make up a data strategy may, at times, seem at odds with one another, but tools, such as the enterprise data catalog , can help CDOs in striking the right balance between facilitating data access and data governance.

Data Quality 52

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AWS Big Data

AUGUST 14, 2023

At the same time, unstructured approaches to data mesh management that don’t have a vision for what types of products should exist and how to ensure they are developed are at high risk of creating the same effect through simple neglect. Acts as chair of, and appoints members to, the data council. Monitoring and Event Management X X.

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CIO Business Intelligence

NOVEMBER 29, 2022

Layering technology on the overall data architecture introduces more complexity. Today, data architecture challenges and integration complexity impact the speed of innovation, data quality, data security, data governance, and just about anything important around generating value from data.

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Octopai

JUNE 9, 2024

This challenge is especially critical for executives responsible for data strategy and operations. Here’s how automated data lineage can transform these challenges into opportunities, as illustrated by the journey of a health services company we’ll call “HealthCo.”

IT 52

IT Data-driven Predictive Analytics Data Strategy 52

IBM Big Data Hub

JUNE 8, 2022

Implementing the right data strategy spurs innovation and outstanding business outcomes by recognizing data as a critical asset that provides insights for better and more informed decision-making. Here are a few common data management challenges: Regulatory compliance on data use. Data quality.

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Alation

NOVEMBER 11, 2021

For instance, establishing a basic data-sharing agreement with a consuming party could be done by a steward, but a request for more expansive or frequent access to a data source may have to be negotiated and agreed on by the data owner. Data Quality Metrics. Subscribe to Alation's Blog.

Data Governance 52

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Alation

JULY 6, 2021

Source: Gartner : Adaptive Data and Analytics Governance to Achieve Digital Business Success. As data collection and volume surges, so too does the need for data strategy. As enterprises struggle to juggle all three, data governance offers a vital framework. In this way, metadata is critical for data governance.

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Alation

AUGUST 26, 2021

Under an active data governance framework , a Behavioral Analysis Engine will use AI, ML and DI to crawl all data and metadata, spot patterns, and implement solutions. Data Governance and Data Strategy. In other words, leaders are prioritizing data democratization to ensure people have access to the data they need.

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BizAcuity

APRIL 1, 2023

Several large organizations have faltered on different stages of BI implementation, from poor data quality to the inability to scale due to larger volumes of data and extremely complex BI architecture. Data governance and security measures are critical components of data strategy.

Business Intelligence 52

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BizAcuity

JANUARY 31, 2023

Several large organizations have faltered on different stages of BI implementation, from poor data quality to the inability to scale due to larger volumes of data and extremely complex BI architecture. Data governance and security measures are critical components of data strategy.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

Sisense

MARCH 19, 2021

A lot of those remnants of the past remain in the position, but as the value of data has soared, a data executive’s success is increasingly tied to business goals. Data quality, availability, and security. CDOs work to ensure data across the organization is clean and correct. Developing the modern data strategy.

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Anmut

MARCH 22, 2023

Anmut’s own clients estimate that poor data quality and availability causes at least 16% additional cost per year. Worse still, these organisations’ competitors are actually pouring twice as many resources into creating value from their data assets, giving them a massive advantage.

Measurement 52

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Alation

NOVEMBER 22, 2022

What Is Data Governance In The Public Sector? Effective data governance for the public sector enables entities to ensure data quality, enhance security, protect privacy, and meet compliance requirements. With so much focus on compliance, democratizing data for self-service analytics can present a challenge.

Data Governance 52

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Alation

OCTOBER 12, 2021

The third challenge was around trusting the data. There are inconsistent definitions and inconsistent metrics, and a lack of trust in the data used in the metrics. The fourth challenge was around using the data. There was a real lack of confidence in using the data and the risk of using the wrong data.

Strategy 52

Strategy Enterprise Analytics Data Governance 52

Smarten

APRIL 19, 2024

Anomaly Alerts KPI monitoring and Auto Insights allows business users to quickly establish KPIs and target metrics and identify the Key Influencers and variables for the target KPI. As businesses work toward these goals, the use of systems monitors will become more important.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

IBM Big Data Hub

DECEMBER 20, 2023

What metrics need to be improved? Determine the tools and support needed and organize them based on what’s most crucial for the project, specifically: Data: Make a data strategy by determining if new or existing data or datasets will be required to effectively fuel the AI solution.

Strategy 71

Strategy Business Objectives Cost-Benefit Consulting 71

Alation

MARCH 21, 2023

By building a governance framework to address data usage and quality issues, Virgin Australia was able to standardize definitions to facilitate data discovery and build trust. Finnair Finland’s national airline, Finnair , wanted to break down data silos to standardize metrics and support better communication across teams.

Data Analytics 52

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AWS Big Data

FEBRUARY 1, 2023

Clients access this data store with an API’s. Amazon S3 as data lake For better data quality, we extracted the enriched data into another S3 bucket with the same AWS Glue job. This helped us automatically crawl the data from Amazon S3 and generate the schema and tables.

Optimization 52

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Ontotext

MAY 2, 2024

They are expected to understand the entire data landscape and generate business-moving insights while facing the voracious needs of different teams and the constraints of technology architecture and compliance. Evolution of data approaches The data strategies we’ve had so far have led to a lot of challenges and pain points.

Metadata 52

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AWS Big Data

NOVEMBER 13, 2024

The first section of this post discusses how we aligned the technical design of the data solution with the data strategy of Volkswagen Autoeuropa. Next, we detail the governance guardrails of the Volkswagen Autoeuropa data solution. Finally, we highlight the key business outcomes. The team identified two use cases.

Metadata 105

Metadata Data Quality Digital Transformation Data-driven 105

CIO Business Intelligence

JANUARY 30, 2025

For example, AI can perform real-time data quality checks flagging inconsistencies or missing values, while intelligent query optimization can boost database performance. Data Governance for ethical AI and decision-making With AI embedded in decision-making, the need for robust data governance is intensifying.

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CIO Business Intelligence

FEBRUARY 25, 2025

Still, many organizations arent yet ready to fully take advantage of AI because they lack the foundational building blocks around data quality and governance. CIOs must be able to turn data into value, Doyle agrees. Stories and metrics matter. Interviewers are trying to mitigate risk when they hire.

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CIO Business Intelligence

FEBRUARY 7, 2025

She notes that Honeywell is well-positioned to leverage gen AI because of the work its done on its data and data strategy. The technology has many exciting applications, but a rock solid data strategy is an essential first step. You cant have a gen AI strategy without a data strategy, she says.

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Data Warehouse Data-driven Data Strategy Metrics 80

Anmut

APRIL 14, 2025

Condition Visibility : Physical assets can be inspected visually or measured using predefined metrics. Missing context, ambiguity in business requirements, and a lack of accessibility makes tackling data issues complex. Get in touch to learn how we can help you maximise the value of your data.

Uncertainty 52

Uncertainty Data Quality Business Objectives Measurement 52

AWS Big Data

APRIL 29, 2025

The QuickSight step further optimizes data by selecting only necessary columns by using a column-level lineage solution and setting a dynamic date filter with a sliding window to ingest only relevant hot data into SPICE, avoiding unused data in dashboards or reports.

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